Scholar
Danny Driess
Google Scholar ID: wxnzyjwAAAAJ
Google DeepMind
Citations & Impact
Citations
10,439
H-index
32
i10-index
47
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - PaLM-E: An Embodied Multimodal Language Model, ICML, 2023
- - RT-2: Vision-Language-Action Models, CoRL, 2023
- - Reinforcement Learning with Neural Radiance Fields, NeurIPS, 2022
Research Experience
- Currently a Research Scientist at Physical Intelligence. Organized four RSS workshops (2020, 2021, 2022, 2023) discussing the synergies between learning and planning, and on Implicit Representations for Robotics.
Education
- PhD from TU Berlin, advisor was Marc Toussaint. Visited Russ Tedrake's Lab at MIT in 2020. Interned at Google Brain, hosted by Pete Florence.
Background
- Research interests: Bringing AI into the physical world. Previously a Senior Research Scientist at Google DeepMind, working at the intersection of Gemini and robotics.
Miscellany
- Contact: danny dot driess at gmail dot com. Has Google Scholar and Twitter accounts.
